Topology control method of wireless sensor network used for monitoring water quality of inland river

Abstract

The invention discloses a topology control method of a wireless sensor network used for monitoring the water quality of an inland river. The topology control method comprises a network initialization stage, a clustering stage, a cluster head election stage, an in-cluster communication stage and an inter-cluster communication stage. Aimed at the wireless sensor network which is used for monitoring the water quality of the inland river and characterized by multiple aggregation nodes and long-distance bilinear distribution, the topology control method divides the wireless sensor network into virtual grids same in size, and all active sensor nodes in each virtual grid constitute a cluster. In each turn, nodes with low communication cost and high residual energy are selected to serve as clusters, other nodes transmit monitoring data to the clusters in a single-hop data transmission mode, data fusion is conducted on the clusters, the data are transmitted to the near aggregation nodes in an inter-cluster multi-hop data transmission mode, and if a path is blocked, the data are reversely transmitted to the far aggregation nodes. The topology control method effectively prolongs the life cycle of the network, balances the load of the network, and optimizes the performance of the network.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a topology control method for inland river water quality monitoring wireless sensor networks. Background technique [0002] In recent years, people have suffered from the consequences of environmental pollution, which has also attracted more and more attention to environmental issues, especially water pollution, which is closely related to people's production and life. The problem of water pollution in our country is serious, especially the pollution of inland rivers. The sneaky behavior of enterprises near the inland rivers is hidden, and human supervision is difficult. Therefore, it is of great practical significance to construct an effective inland water quality monitoring system. Traditional monitoring generally uses wired methods, which have the problems of high construction and maintenance costs and strict environmental conditions. The wireles...

AI Technical Summary

Problems solved by technology

The PBCR algorithm introduces the remaining energy of nodes as a parameter into the algorithm, so that the selected cluster head is more suitable for data forwarding tasks, and the energy consumption within the cluster is more balanced. However, the cluster head electio

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